The AI-Powered Developer MEAP V01 1st Edition by Nathan B Crocker ISBN 1633437612 9781633437616

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ISBN 10: 1633437612 
ISBN 13: 9781633437616
Author: Nathan B Crocker

AI coding tools like ChatGPT and GitHub Copilot are changing the way we write code and build software. AI-Powered Developer reveals the practical best practices you need to deliver reliable results with AI. It cuts through the hype, showcasing real-world examples of how these tools ease and enhance your everyday tasks, and make you more creative.

In AI-Powered Developer you’ll discover how to get the most out of AI:

* Harness AI to help you design and plan software
* Use AI for code generation, debugging, and documentation
* Improve your code quality assessments with the help of AI
* Articulate complex problems to prompt an AI solution
* Develop a continuous learning mindset that keeps you up to date
* Adapt your development skills to almost any language

AI coding tools give you a smart and reliable junior developer that’s fast and keen to help out with your every task and query. AI-Powered Developer helps you put your new assistant to work. You’ll learn to use AI for everything from writing boilerplate, to testing and quality assessment, managing infrastructure, delivering security, and even assisting with software design.

The AI-Powered Developer MEAP V01 1st Table of contents:

• 1. What is an AI-powered developer?

  • Defining the role of AI in software development.
  • Why AI is becoming indispensable for developers.
  • Tools and concepts covered in the book.

• 2. A generative AI primer for developers

  • Introduction to generative AI concepts (LLMs, diffusion models, etc.).
  • How generative AI models work at a high level.
  • Key terminology and concepts for developers.

• 3. Understanding code generation and completion

  • How AI tools generate code (e.g., GitHub Copilot, Tabnine).
  • Techniques for effective code completion.
  • Best practices and limitations.

• 4. Code explanation, documentation, and refactoring

  • Using AI to understand complex codebases.
  • Automating documentation generation.
  • AI-assisted refactoring strategies.

• 5. Debugging and testing with AI

  • AI for identifying and fixing bugs.
  • Generating test cases with AI.
  • Strategies for AI-enhanced testing workflows.

• 6. Enhancing your development workflow with AI agents

  • Introduction to AI agents in development.
  • Setting up and using AI agents for various tasks.
  • Examples of AI agent architectures for developers.

• 7. Practical AI-powered development patterns

  • Common patterns for integrating AI into daily development.
  • Real-world examples and use cases.
  • Tips for maximizing AI’s benefit.

• 8. Prompt engineering for developers

  • Crafting effective prompts for code generation.
  • Techniques for better AI output in development tasks.
  • Iterative prompt refinement.

• 9. Fine-tuning models for specific development tasks

  • When and why to fine-tune AI models.
  • Methods and tools for fine-tuning.
  • Case studies of fine-tuned models for development.

• 10. Security, ethics, and the future of AI in development

  • Addressing security concerns with AI-generated code.
  • Ethical considerations of using AI in development.
  • The evolving landscape and future trends for AI-powered developers.

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Tags: Nathan B Crocker, AI-Powered, Developer